제품·UX

Identifies onboarding friction points and time-to-value barriers in e-commerce apps. Use with new and recent users to pinpoint what accelerates or delays activation and first purchase.

Evaluates how users perceive and navigate website menu structures, measuring label clarity, mental models of information architecture, and findability of key content areas. Ideal for UX researchers and product teams validating navigation designs.

Measures new users' first-session experience, onboarding guidance effectiveness, and time-to-value discovery to identify activation friction and improve early retention.

Measures user satisfaction with push notification experiences across timing, frequency, perceived control, and content value. Designed for product and UX teams optimizing notification strategies for mobile or web applications.

Structured stakeholder or customer feedback on a design, mockup, or creative asset: first impressions, a click on what draws attention, ratings against the brief, and file upload for marked-up versions. The AI interviewer converts 'I just don't like it' into usable direction.

Measures how first-time users perceive, interact with, and evaluate pre-filled default settings during product onboarding. Use this to identify friction points and optimize the first-run setup experience.

Measures mobile commerce app usability across navigation, task ease, and checkout experience to identify friction points and prioritize UX improvements. Designed for current app users who have shopped within the past 30 days.

Captures user preferences for notification channels, frequency, granularity, default settings, and control tools across apps and devices. Designed for product teams seeking to optimize notification strategies, improve opt-in rates, and reduce notification-driven churn.

방문자가 웹사이트에서 원하는 것을 얼마나 쉽게 수행하는지, 속도·탐색·디자인·신뢰도 측면에서 사이트가 어떻게 평가되는지, 그리고 추천 의향이 얼마나 되는지를 측정합니다. 또한 AI 후속 질문을 통해 혼란스럽거나 문제가 발생한 정확한 순간을 심층적으로 파악합니다. 정기적인 사이트 상태 점검을 수행하는 제품, UX, 마케팅 팀을 위해 설계되었습니다.

Evaluates the usability, transparency, and perceived compliance of email unsubscribe flows from the subscriber's perspective. Use with general consumers to benchmark opt-out friction, identify process pain points, and assess trust impact.

Captures how players actually experience difficulty tuning, progression pacing, monetization fairness, and moment-to-moment session enjoyment. Built for game designers and live-ops teams tracking post-launch sentiment, with an AI follow-up that digs into the specific moment a player felt cheated by difficulty or monetization instead of a generic complaint.

Measures user expectations and pain points for tab bars, gestures, menus, and feature discoverability in mobile apps. Designed for UX researchers seeking actionable insights to optimize mobile navigation patterns.

Measures user perceptions of map/GPS accuracy, update timeliness, and improvement priorities in navigation apps. Designed for product and UX teams seeking to benchmark trust, identify pain points, and prioritize fixes.

사용자가 앱에 얼마나 만족하는지, 어디에서 불편을 겪는지, 그리고 어떤 개선이 가장 중요한지를 측정하여 릴리스 상태를 추적하는 제품 및 모바일 팀을 위한 설문입니다. AI 후속 인터뷰가 각 사용자의 만족도 점수 이면의 이야기를 파고들어, 그 점수를 형성한 구체적인 순간이나 기능을 드러냅니다.

Where do people click first when given a task on your design? First-click success is one of the strongest predictors of task completion. Upload your screenshot, set the task, and let the AI interviewer ask what they expected to happen — turning a click map into a usability diagnosis.

Identifies what actually pushes users toward 5-star versus 1-star app store reviews — crashes, speed, ads, pricing, support — and what specifically would change their rating. Built for product and growth teams; the AI follow-up reconstructs the real incident behind each respondent's rating instead of generic complaints.